[Insight-users] levenberg marquadet or other newton-like optimizer for single-value cost function

[Moti Freiman]

Hi All,
I'm searching for optimizer to my registration application.
Since gradient decent based algorithms in itk don't take into account the
second order infromation (hessian), I assume that they tend to use more
iterations than newton like methods, include the levenberg marquadet
optimizer.
However I did not find an Newton like optimizer that can optimize a single
value cost function (like NCC). Any ideas?
Is there any reason that the levenberg marquaedt designed just for multiple
value cost function?
Thanks,
Moti
-- 
__
Moti Freiman, Ph.D Student.
Medical Image Processing and Computer-Assisted Surgery Laboratory.
School of Computer Science and Engineering.
The Hebrew University of Jerusalem Givat Ram, Jerusalem 91904, Israel
Phone: +(972)-2-658-5371 (laboratory)
WWW site: http://www.cs.huji.ac.il/~freiman
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